Zaiqiao Meng | DeepAI

AI Chat

Featured Co-authors

Yu Wang
276 publications
Xiangnan He
124 publications
Ivan Vulić
87 publications
Fuli Feng
56 publications
Anna Korhonen
52 publications
Nigel Collier
38 publications
Hong Shen
30 publications
Craig Macdonald
28 publications
Xin Xin
26 publications
Ehsan Shareghi
24 publications
Iadh Ounis
19 publications

∙ 08/28/2023

When hard negative sampling meets supervised contrastive learning

State-of-the-art image models predominantly follow a two-stage strategy:...

0 Zijun Long, et al. ∙

∙ 08/27/2023

Label Denoising through Cross-Model Agreement

Learning from corrupted labels is very common in real-world machine-lear...

0 Yu Wang, et al. ∙

∙ 05/23/2023

BAND: Biomedical Alert News Dataset

Infectious disease outbreaks continue to pose a significant threat to hu...

0 Zihao Fu, et al. ∙

∙ 05/22/2023

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization

Biomedical named entity recognition is one of the core tasks in biomedic...

0 Zihao Fu, et al. ∙

∙ 03/31/2023

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers

Vision Transformers have been incredibly effective when tackling compute...

8 Zijun Long, et al. ∙

∙ 03/25/2023

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction

Event extraction is a complex information extraction task that involves ...

0 Meiru Zhang, et al. ∙

∙ 11/07/2022

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces

Knowledge graph embedding (KGE) is a increasingly popular technique that...

0 Jiahang Cao, et al. ∙

∙ 10/12/2022

Can Pretrained Language Models (Yet) Reason Deductively?

Acquiring factual knowledge with Pretrained Language Models (PLMs) has a...

0 Zhangdie Yuan, et al. ∙

∙ 09/10/2021

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT

Infusing factual knowledge into pre-trained models is fundamental for ma...

0 Zaiqiao Meng, et al. ∙

∙ 08/27/2021

Few-Shot Table-to-Text Generation with Prototype Memory

Neural table-to-text generation models have achieved remarkable progress...

0 Yixuan Su, et al. ∙

∙ 07/08/2021

Graph Neural Pre-training for Enhancing Recommendations using Side Information

Leveraging the side information associated with entities (i.e. users and...

0 Zaiqiao Meng, et al. ∙

∙ 05/20/2021

Probabilistic and Variational Recommendation Denoising

Learning from implicit feedback is one of the most common cases in the a...

0 Yu Wang, et al. ∙

∙ 10/22/2020

Self-alignment Pre-training for Biomedical Entity Representations

Despite the widespread success of self-supervised learning via masked la...

0 Fangyu Liu, et al. ∙

∙ 07/26/2020

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models

Effective methodologies for evaluating recommender systems are critical,...

0 Zaiqiao Meng, et al. ∙

∙ 10/31/2019

Semi-supervisedly Co-embedding Attributed Networks

Deep generative models (DGMs) have achieved remarkable advances. Semi-su...

0 Zaiqiao Meng, et al. ∙

∙ 09/17/2019

Variational Bayesian Context-aware Representation for Grocery Recommendation

Grocery recommendation is an important recommendation use-case, which ai...

0 Zaiqiao Meng, et al. ∙

∙ 10/12/2018

Neural Variational Hybrid Collaborative Filtering

Collaborative Filtering (CF) is one of the most used methods for Recomme...

0 Teng Xiao, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world